You could use a two-tailed t-test. You would use a two-tailed test instead of a one-tailed test because you are not hypothesizing which direction the difference will be. If you hypothesize before hand the direction of change, you could use a one-tailed test.
Statistical estimates cannot be exact: there is a degree of uncertainty associated with any statistical estimate. A confidence interval is a range such that the estimated value belongs to the confidence interval with the stated probability.
2.4299999999999997
A statistical estimate is an estimation of population based on one or many data samples of a group. There are two types of estimates: point and interval.
Answers.com says it is: A statistical range with a specified probability that a given parameter lies within the range. I think that means, just how confident you are that your statistical analysis is correct.
the answer is, interval
Two way ANOVA
In statistics, a significant difference is typically determined through hypothesis testing. This involves comparing the observed data with what would be expected by chance alone. If the difference between the observed data and what is expected by chance is large enough, it is considered statistically significant. This is typically determined by calculating a p-value, with a lower p-value indicating a higher level of statistical significance.
Three basic levels of measurement are nominal, ordinal, and interval/interval-ratio.
Statistical estimates cannot be exact: there is a degree of uncertainty associated with any statistical estimate. A confidence interval is a range such that the estimated value belongs to the confidence interval with the stated probability.
interval interval
2.4299999999999997
A statistical estimate is an estimation of population based on one or many data samples of a group. There are two types of estimates: point and interval.
No. The width of the confidence interval depends on the confidence level. The width of the confidence interval increases as the degree of confidence demanded from the statistical test increases.
Answers.com says it is: A statistical range with a specified probability that a given parameter lies within the range. I think that means, just how confident you are that your statistical analysis is correct.
The class interval for each interval is the difference between its upper limit and its lower limit.
Technically is an ordinal level measurement - because the options imply a hierarchy (i.e low to high levels of your variable of interest), but we cannot say that the difference between each level is precisely the same as you would be able to with an interval measurement. There is some controversy over this though, and it is still often used like an interval measurement in statistical tests, although this might not really be appropriate.
the answer is, interval